电子科技大学学报Issue(1)：79-83,5.DOI:10.3969/j.issn.1001-0548.2015.01.013
基于全变分模型的视觉感知图像质量评价方法
A New Perceptual Image Quality Assessment Method Based on Total Variation Model
摘要
Abstract
In this paper, based on the assumption that human visual system(HVS) is sensitive for image structures (edges) and local luminance (light stimulation), we propose a new perceptual image quality assessment (PIQA) metric based on total variation(TV) model in spatial domain. In the proposed metric, the TV’s comparison between a distorted image and its reference image is applied to measure the extent of the loss of the image structural information. As a complementary part to measure the distortion, the energy of enclosed regions in a difference image is used to measure the missing luminance information which is sensitive to human visual system. The performance of the proposed metric is validated with an extensive subjective database. The results show that the proposed metric outperforms the state-of-the-art of image quality assessment metrics.关键词
能量函数/人眼视觉系统/感知图像质量评价/全变分Key words
energy function/HVS/PIQA/TV分类
信息技术与安全科学引用本文复制引用
吴亚东,张红英..基于全变分模型的视觉感知图像质量评价方法[J].电子科技大学学报,2015,(1):79-83,5.基金项目
国家自然科学基金(61303127)；国家科技支撑计划(2013BAH32F02，2013BAH32F03)；四川省科技厅项目(2011JQ0041,11ZS2009)；中国科学院“西部之光”人才培养计划(13ZS0106) （61303127）
